A number of “normalized” measures ol entropy have been obtained to measure the “intrinsic” uncertainty of a probability distribution. Their graphs have been drawn and it has been shown that the normalized measures of a given probability distribution are much closer to one another than the corresponding absolute measures of entropy.

Additional Metadata
Keywords information theory, Maximum entropy, normalized measures, probabilistic systems, uncertainty
Persistent URL dx.doi.org/10.1080/03081078608934927
Journal International Journal of General Systems
Citation
Kumar, U, Kumar, V, & Kapur, J.N. (J. N.). (1986). Normalized measures of entropy. International Journal of General Systems, 12(1), 55–69. doi:10.1080/03081078608934927